Certified Data Science Professional

Get global recognition and stand out as a leader in the field of Data Science.

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What Sets Our Program Apart?

  •    E-Learning Library Access
  •    Expertly crafted BOK with ready-to-implement resources
  •    Lifetime Valid Certification with 2 Exam Attempts
  •    Capstone Projects
  •    Generative AI Interview Practice Platform
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About Data Science Certification

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Objectives of Data Science Certification

  • Showcase practical application of data science skills.
  • Enhance credibility as a data science professional.
  • Demonstrate ability to analyze and interpret data.
  • Validate competence in data-driven decision-making.
  • Boost confidence in handling complex data projects.
  • Stay updated with evolving data science methodologies.
  • Increase marketability and job prospects in data science.
  • Establish oneself as a certified data science practitioner.
  • Join a distinguished community of data science professionals.

Benefits of Data Science Certification

After the completion of this Data Science Professional Certification, participants will be able to:

  • Distinguish themselves from other data science professionals.
  • Amplify earning potential and salary prospects.
  • Access exclusive data science projects.
  • Gain increased visibility and recognition in the industry.
  • Be empowered to tackle complex data challenges.
  • Enhance credibility for data-driven decision-making.
  • Gain a competitive advantage in the data job market.

Data Scientist Certification Exam Syllabus

  • Overview of Data Science: Definition, Importance, and Applications
  • Key Concepts and Terminology in Data Science
  • The Data Science Lifecycle: Problem Definition, Data Collection, Data Preparation, Data Analysis, and Interpretation
  • Tools and Technologies in Data Science: Python, R, SQL, etc.
  • Introduction to Data Science Roles: Data Scientist, Data Analyst, Data Engineer, and their Responsibilities

  • Basic Probability Concepts: Probability Theory, Random Variables, Probability Distributions
  • Statistical Methods: Descriptive Statistics, Inferential Statistics, Hypothesis Testing
  • Correlation and Regression Analysis
  • Bayesian Statistics
  • Importance of Probability and Statistics in Data Science

  • Introduction to Big Data: Definition, Characteristics, and Challenges
  • Big Data Technologies: Hadoop, Spark, NoSQL Databases
  • Data Storage Solutions: HDFS, Cassandra, MongoDB
  • Big Data Processing Frameworks: MapReduce, Spark
  • Case Studies and Applications of Big Data

  • Data Extraction Techniques: Web Scraping, APIs, Databases
  • Data Cleaning and Preparation: Handling Missing Values, Data Transformation, Data Integration
  • Introduction to Data Visualization: Importance, Principles, and Tools
  • Visualization Techniques: Charts, Graphs, Plots, Dashboards
  • Tools for Data Visualization: Matplotlib, Seaborn, Plotly

  • Fundamentals of Data Mining: Concepts, Techniques, and Applications
  • Machine Learning Overview: Supervised, Unsupervised, and Reinforcement Learning
  • Key Algorithms: Regression, Classification, Clustering, Association
  • Model Evaluation and Validation Techniques
  • Practical Applications of Data Mining and Machine Learning

  • Advanced Statistical Methods: Multivariate Analysis, Time Series Analysis, Survival Analysis
  • Statistical Inference: Estimation, Confidence Intervals, Significance Testing
  • Experimental Design and Analysis
  • Statistical Software: R, Python (statsmodels, SciPy)
  • Real-world Applications of Statistical Methods in Data Science

  • Introduction to Text Mining: Techniques, Applications, and Challenges
  • NLP Fundamentals: Text Preprocessing, Tokenization, Stemming, Lemmatization
  • Text Classification, Sentiment Analysis, and Topic Modeling
  • Advanced NLP Techniques: Word Embeddings, Transformers, BERT, GPT
  • Tools for Text Mining and NLP: NLTK, SpaCy, Gensim

  • Introduction to Tableau: Overview and Installation
  • Connecting to Data Sources in Tableau
  • Creating Basic Visualizations: Bar Charts, Line Charts, Pie Charts
  • Advanced Visualizations: Heat Maps, Tree Maps, Scatter Plots
  • Building Interactive Dashboards and Storytelling with Data
  • Deep Dive into Tableau Features and Functionalities
  • Advanced Data Manipulation and Calculations in Tableau
  • Using Tableau for Exploratory Data Analysis
  • Integrating Tableau with Other Data Science Tools
  • Best Practices for Effective Data Visualization and Presentation

Meet our Advisor

Antonio Grasso
Antonio Grasso

Intel Software Innovator, Siemens AG Influencer

 Shameer Thaha
Shameer Thaha

CEO

Harinder Seera
Harinder Seera

CTO, Performance Test Consultant, Speaker

Enrollment Options

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Target Audience Of CDSP Certification

  IT Professionals
  Software Professionals
  ITSM Professionals
  Graduates who want to begin their career in Data Science
  Data Analysis Professionals
  Anyone who wants to gain their expertise in Data Science

Pre-Requisites For Data Science Certification

There are no particular prerequisites for this certification. Knowledge of business domains and data analysis will be beneficial.

Exam Details Of Data Science Certification

Exam Questions

40

Exam Format

Multiple choice

Language

English

Passing Score

65%

Duration

90 min

Open Book

No

Certification Validity

Lifetime

Complimentary Retake

Yes

Sample Certification

Sample Data Science Certification Image

About Data Science Certification

The GSDC Certified Data Science Professional certification is a well-known and highly desired certification for data science professionals. It proves that individuals have the necessary skills and expertise in data science.

Data Science certification is for people who already know a lot about data science and want to show they can apply their knowledge in real-world situations.

Getting certified by GSDC shows that a person is committed to keeping up with the latest developments in the field and can handle difficult data challenges. It also helps them stand out and advance their career in the fast-changing world of data science.

Frequently Asked Questions

Register Your Interest by clicking on this link: Register Now

The GSDC Certified Data Science Professional certification is ideal for individuals looking to establish themselves as data science professionals, such as data analysts, data engineers, data scientists, and business analysts. It is also suitable for professionals seeking to improve their data science knowledge and skills.

The GSDC Certified Data Science Professional is one of the best certifications available for data science professionals. It is a recognized industry certification that validates a data science professional's knowledge and skills. The certification exam covers data science concepts such as data cleaning, statistical analysis, machine learning, data visualization, and data communication. The benefits of this certification include better job prospects, higher salaries, and recognition as a data science expert.

The demand for data scientist certification is growing at an accelerated rate, making the job prospects for individuals holding the GSDC Data Science Professional certification excellent. CDSP certification can help professionals in various job roles such as data analysts, data scientists, data engineers, machine learning engineers, and business analysts.

The GSDC Data Science Professional certification is crucial in the industry because it validates the knowledge and skills required for data science professionals. The certification covers topics such as statistical analysis, machine learning, data visualization, and data communication, making it an asset for professionals seeking to establish themselves as experts in the field.

By choosing a GSDC certification, you can be confident that it will remain valid for your professional career, without needing any renewal or fees.

The GSDC Data Science Certifications provide several benefits to organizations. The certification ensures that the organization has skilled and knowledgeable data science professionals who can effectively analyze and communicate data. It also enhances the organization's credibility and reputation by showcasing its commitment to data science excellence. Finally, it helps organizations attract and retain top talent in the data science field.

Why GSDC ?

The Global Skill Development Council (GSDC) is an independent, vendor-neutral, international credentialing and certification organization for the emerging technologies:

  • Advisory board members and SMEs are from around the world, drawn from different specializations.

  • Supported by the world's most esteemed thought leaders from Yale, MIT, Stanford, Wharton, and Harvard.

  • Hub of Trending Technologies and framework certifications.

  • Content curated by Industry's best Subject matter experts.

  • Webinars and Conferences.

  • Training Partners Across The Globe.

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